Instructions to use NathanSegers/masterclass-2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NathanSegers/masterclass-2025 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://NathanSegers/masterclass-2025") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from NathanSegers/masterclass-2025: direct link, hf CLI and curl.
- Browser
- Download file 18.6 MB
-
https://huggingface.co/NathanSegers/masterclass-2025/resolve/main/model.weights.h5
- Command line
-
hf download hf://NathanSegers/masterclass-2025/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/NathanSegers/masterclass-2025/resolve/main/model.weights.h5
18.6 MB
- Xet hash:
- 6db0536d4da70ce5352bd364c572938c497cd6863d0fda10718104245f6a8074
- Size of remote file:
- 18.6 MB
- SHA256:
- a3255c764e4d2abb406131bf48712fd8ac39c2f76ef8338289d9e25a80fed8d1
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